{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 新手教程—Seaborn库使用示例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seaborn是Python常用的统计数据可视化库，以下内容简单介绍Seaborn如何使用。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入需要的程序包\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "from jqdatasdk import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": "auth success \n"
    }
   ],
   "source": [
    "# auth('ID','Password')\n",
    "\n",
    "auth('13811550483','security421S')\n",
    "pd.set_option('display.max_rows', 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 股票收益曲线示例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x14fcce81748>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": "<Figure size 432x288 with 1 Axes>"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取600196.XSHG的2019年01月的日级数据, 只获取open+close字段\n",
    "df = get_price('600196.XSHG', start_date='2019-01-01', end_date='2019-01-31', frequency='daily', fields=['open','close']) \n",
    "returns = df.pct_change().dropna()\n",
    "sns.distplot(returns.iloc[:,0:1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 股票相关性分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 两只股票的相关性分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以比较不同股票的相关性，通过线性回归，画出不同股票的拟合曲线、置信区间（阴影区域）、皮尔森回归系数以及P值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<seaborn.axisgrid.JointGrid at 0x14fcefcdb08>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": "<Figure size 864x864 with 3 Axes>"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pingan = get_price('000001.XSHE', start_date='2019-01-01', end_date='2019-02-01', frequency='daily', fields=['open'])\n",
    "fuxing = get_price('600196.XSHG', start_date='2019-01-01', end_date='2019-02-01', frequency='daily', fields=['open'])\n",
    "\n",
    "returns_pingan = pingan.pct_change().dropna()\n",
    "returns_fuxing = fuxing.pct_change().dropna()\n",
    "\n",
    "sns.jointplot(returns_pingan['open'], returns_fuxing['open'], kind='reg', size=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从以上各图，可以分析两只股票之间是否存在一个可能的投资机会，如果散点均匀分布在直线周围，表明两个股票有较强的相关性。"
   ]
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   "metadata": {},
   "source": [
    "### 多支股票相关性分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "同一板块的股票相关性较强，我们以农业板块（A01）的股票作为示例分析多支股票的相关性。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000998.XSHE</th>\n",
       "      <th>002041.XSHE</th>\n",
       "      <th>300087.XSHE</th>\n",
       "      <th>300143.XSHE</th>\n",
       "      <th>300189.XSHE</th>\n",
       "      <th>600108.XSHG</th>\n",
       "      <th>600313.XSHG</th>\n",
       "      <th>600354.XSHG</th>\n",
       "      <th>600359.XSHG</th>\n",
       "      <th>600371.XSHG</th>\n",
       "      <th>600506.XSHG</th>\n",
       "      <th>600540.XSHG</th>\n",
       "      <th>600598.XSHG</th>\n",
       "      <th>601118.XSHG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>19.77</td>\n",
       "      <td>12.84</td>\n",
       "      <td>5.21</td>\n",
       "      <td>12.76</td>\n",
       "      <td>6.78</td>\n",
       "      <td>9.53</td>\n",
       "      <td>11.39</td>\n",
       "      <td>8.81</td>\n",
       "      <td>10.92</td>\n",
       "      <td>10.66</td>\n",
       "      <td>11.33</td>\n",
       "      <td>8.16</td>\n",
       "      <td>10.17</td>\n",
       "      <td>8.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>20.17</td>\n",
       "      <td>13.05</td>\n",
       "      <td>5.38</td>\n",
       "      <td>12.76</td>\n",
       "      <td>6.95</td>\n",
       "      <td>9.77</td>\n",
       "      <td>11.70</td>\n",
       "      <td>8.75</td>\n",
       "      <td>11.08</td>\n",
       "      <td>10.82</td>\n",
       "      <td>11.62</td>\n",
       "      <td>8.30</td>\n",
       "      <td>10.51</td>\n",
       "      <td>9.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>20.01</td>\n",
       "      <td>12.98</td>\n",
       "      <td>5.32</td>\n",
       "      <td>11.48</td>\n",
       "      <td>6.89</td>\n",
       "      <td>10.00</td>\n",
       "      <td>11.90</td>\n",
       "      <td>8.85</td>\n",
       "      <td>11.07</td>\n",
       "      <td>10.81</td>\n",
       "      <td>11.54</td>\n",
       "      <td>8.28</td>\n",
       "      <td>10.54</td>\n",
       "      <td>9.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>20.56</td>\n",
       "      <td>13.16</td>\n",
       "      <td>5.44</td>\n",
       "      <td>10.58</td>\n",
       "      <td>6.93</td>\n",
       "      <td>9.79</td>\n",
       "      <td>12.00</td>\n",
       "      <td>8.89</td>\n",
       "      <td>11.12</td>\n",
       "      <td>10.87</td>\n",
       "      <td>11.81</td>\n",
       "      <td>8.30</td>\n",
       "      <td>10.56</td>\n",
       "      <td>8.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>20.19</td>\n",
       "      <td>13.01</td>\n",
       "      <td>5.30</td>\n",
       "      <td>10.39</td>\n",
       "      <td>6.80</td>\n",
       "      <td>9.43</td>\n",
       "      <td>11.61</td>\n",
       "      <td>8.60</td>\n",
       "      <td>10.80</td>\n",
       "      <td>10.58</td>\n",
       "      <td>11.73</td>\n",
       "      <td>8.19</td>\n",
       "      <td>10.43</td>\n",
       "      <td>8.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-12</th>\n",
       "      <td>19.65</td>\n",
       "      <td>13.11</td>\n",
       "      <td>5.14</td>\n",
       "      <td>10.07</td>\n",
       "      <td>6.66</td>\n",
       "      <td>9.47</td>\n",
       "      <td>11.58</td>\n",
       "      <td>8.47</td>\n",
       "      <td>10.73</td>\n",
       "      <td>10.38</td>\n",
       "      <td>11.34</td>\n",
       "      <td>8.09</td>\n",
       "      <td>10.42</td>\n",
       "      <td>8.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-13</th>\n",
       "      <td>20.03</td>\n",
       "      <td>13.28</td>\n",
       "      <td>5.32</td>\n",
       "      <td>10.36</td>\n",
       "      <td>6.82</td>\n",
       "      <td>9.52</td>\n",
       "      <td>11.87</td>\n",
       "      <td>8.78</td>\n",
       "      <td>10.90</td>\n",
       "      <td>10.51</td>\n",
       "      <td>11.54</td>\n",
       "      <td>8.12</td>\n",
       "      <td>10.44</td>\n",
       "      <td>8.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-14</th>\n",
       "      <td>19.64</td>\n",
       "      <td>13.09</td>\n",
       "      <td>5.24</td>\n",
       "      <td>10.13</td>\n",
       "      <td>6.69</td>\n",
       "      <td>9.47</td>\n",
       "      <td>11.68</td>\n",
       "      <td>8.64</td>\n",
       "      <td>10.88</td>\n",
       "      <td>10.45</td>\n",
       "      <td>11.84</td>\n",
       "      <td>8.17</td>\n",
       "      <td>10.17</td>\n",
       "      <td>8.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-15</th>\n",
       "      <td>19.80</td>\n",
       "      <td>13.18</td>\n",
       "      <td>5.33</td>\n",
       "      <td>10.18</td>\n",
       "      <td>6.76</td>\n",
       "      <td>9.58</td>\n",
       "      <td>11.79</td>\n",
       "      <td>8.65</td>\n",
       "      <td>11.11</td>\n",
       "      <td>10.55</td>\n",
       "      <td>11.86</td>\n",
       "      <td>8.28</td>\n",
       "      <td>10.35</td>\n",
       "      <td>8.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-16</th>\n",
       "      <td>20.21</td>\n",
       "      <td>13.40</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.26</td>\n",
       "      <td>6.89</td>\n",
       "      <td>10.02</td>\n",
       "      <td>12.14</td>\n",
       "      <td>8.80</td>\n",
       "      <td>11.25</td>\n",
       "      <td>10.73</td>\n",
       "      <td>11.98</td>\n",
       "      <td>8.34</td>\n",
       "      <td>10.51</td>\n",
       "      <td>9.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-19</th>\n",
       "      <td>19.64</td>\n",
       "      <td>13.44</td>\n",
       "      <td>5.43</td>\n",
       "      <td>10.28</td>\n",
       "      <td>6.64</td>\n",
       "      <td>9.68</td>\n",
       "      <td>11.95</td>\n",
       "      <td>8.42</td>\n",
       "      <td>10.79</td>\n",
       "      <td>10.45</td>\n",
       "      <td>11.96</td>\n",
       "      <td>8.14</td>\n",
       "      <td>10.10</td>\n",
       "      <td>8.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-20</th>\n",
       "      <td>20.05</td>\n",
       "      <td>13.69</td>\n",
       "      <td>5.61</td>\n",
       "      <td>10.55</td>\n",
       "      <td>6.83</td>\n",
       "      <td>10.04</td>\n",
       "      <td>12.52</td>\n",
       "      <td>8.59</td>\n",
       "      <td>11.10</td>\n",
       "      <td>10.76</td>\n",
       "      <td>12.33</td>\n",
       "      <td>8.31</td>\n",
       "      <td>10.48</td>\n",
       "      <td>8.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-21</th>\n",
       "      <td>20.48</td>\n",
       "      <td>13.93</td>\n",
       "      <td>5.76</td>\n",
       "      <td>10.82</td>\n",
       "      <td>7.00</td>\n",
       "      <td>10.25</td>\n",
       "      <td>13.26</td>\n",
       "      <td>8.84</td>\n",
       "      <td>11.29</td>\n",
       "      <td>10.96</td>\n",
       "      <td>12.65</td>\n",
       "      <td>8.49</td>\n",
       "      <td>10.82</td>\n",
       "      <td>8.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-22</th>\n",
       "      <td>21.08</td>\n",
       "      <td>14.06</td>\n",
       "      <td>5.81</td>\n",
       "      <td>10.85</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.43</td>\n",
       "      <td>13.76</td>\n",
       "      <td>9.18</td>\n",
       "      <td>11.58</td>\n",
       "      <td>11.18</td>\n",
       "      <td>12.76</td>\n",
       "      <td>8.64</td>\n",
       "      <td>11.09</td>\n",
       "      <td>9.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-23</th>\n",
       "      <td>20.66</td>\n",
       "      <td>13.80</td>\n",
       "      <td>5.70</td>\n",
       "      <td>10.85</td>\n",
       "      <td>7.08</td>\n",
       "      <td>10.11</td>\n",
       "      <td>13.63</td>\n",
       "      <td>8.98</td>\n",
       "      <td>11.36</td>\n",
       "      <td>10.95</td>\n",
       "      <td>12.62</td>\n",
       "      <td>8.57</td>\n",
       "      <td>10.94</td>\n",
       "      <td>9.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-26</th>\n",
       "      <td>20.76</td>\n",
       "      <td>13.90</td>\n",
       "      <td>5.73</td>\n",
       "      <td>10.87</td>\n",
       "      <td>7.16</td>\n",
       "      <td>10.15</td>\n",
       "      <td>13.89</td>\n",
       "      <td>9.08</td>\n",
       "      <td>11.49</td>\n",
       "      <td>11.13</td>\n",
       "      <td>12.74</td>\n",
       "      <td>8.83</td>\n",
       "      <td>11.42</td>\n",
       "      <td>9.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-27</th>\n",
       "      <td>21.22</td>\n",
       "      <td>14.09</td>\n",
       "      <td>6.07</td>\n",
       "      <td>10.91</td>\n",
       "      <td>7.27</td>\n",
       "      <td>10.46</td>\n",
       "      <td>14.89</td>\n",
       "      <td>9.37</td>\n",
       "      <td>11.73</td>\n",
       "      <td>11.22</td>\n",
       "      <td>12.79</td>\n",
       "      <td>9.02</td>\n",
       "      <td>11.59</td>\n",
       "      <td>9.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-28</th>\n",
       "      <td>20.75</td>\n",
       "      <td>13.82</td>\n",
       "      <td>6.31</td>\n",
       "      <td>11.21</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.19</td>\n",
       "      <td>14.32</td>\n",
       "      <td>9.24</td>\n",
       "      <td>11.54</td>\n",
       "      <td>11.00</td>\n",
       "      <td>12.61</td>\n",
       "      <td>9.00</td>\n",
       "      <td>11.50</td>\n",
       "      <td>9.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-29</th>\n",
       "      <td>20.65</td>\n",
       "      <td>13.53</td>\n",
       "      <td>6.20</td>\n",
       "      <td>11.12</td>\n",
       "      <td>7.21</td>\n",
       "      <td>10.08</td>\n",
       "      <td>14.34</td>\n",
       "      <td>9.36</td>\n",
       "      <td>11.24</td>\n",
       "      <td>10.89</td>\n",
       "      <td>12.32</td>\n",
       "      <td>8.95</td>\n",
       "      <td>11.43</td>\n",
       "      <td>9.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-30</th>\n",
       "      <td>21.43</td>\n",
       "      <td>13.80</td>\n",
       "      <td>6.29</td>\n",
       "      <td>10.69</td>\n",
       "      <td>7.37</td>\n",
       "      <td>10.27</td>\n",
       "      <td>14.50</td>\n",
       "      <td>9.40</td>\n",
       "      <td>11.34</td>\n",
       "      <td>11.22</td>\n",
       "      <td>12.26</td>\n",
       "      <td>8.89</td>\n",
       "      <td>11.49</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-02</th>\n",
       "      <td>20.99</td>\n",
       "      <td>13.46</td>\n",
       "      <td>6.24</td>\n",
       "      <td>10.55</td>\n",
       "      <td>7.20</td>\n",
       "      <td>9.66</td>\n",
       "      <td>13.47</td>\n",
       "      <td>8.93</td>\n",
       "      <td>11.31</td>\n",
       "      <td>11.26</td>\n",
       "      <td>12.22</td>\n",
       "      <td>8.93</td>\n",
       "      <td>10.92</td>\n",
       "      <td>8.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
       "      <td>20.60</td>\n",
       "      <td>13.25</td>\n",
       "      <td>6.34</td>\n",
       "      <td>10.75</td>\n",
       "      <td>7.14</td>\n",
       "      <td>9.46</td>\n",
       "      <td>13.59</td>\n",
       "      <td>8.74</td>\n",
       "      <td>11.13</td>\n",
       "      <td>11.04</td>\n",
       "      <td>12.37</td>\n",
       "      <td>9.23</td>\n",
       "      <td>10.81</td>\n",
       "      <td>8.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>20.14</td>\n",
       "      <td>13.24</td>\n",
       "      <td>6.27</td>\n",
       "      <td>10.76</td>\n",
       "      <td>7.12</td>\n",
       "      <td>9.24</td>\n",
       "      <td>13.09</td>\n",
       "      <td>8.60</td>\n",
       "      <td>10.87</td>\n",
       "      <td>11.23</td>\n",
       "      <td>12.45</td>\n",
       "      <td>8.88</td>\n",
       "      <td>10.73</td>\n",
       "      <td>8.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>19.97</td>\n",
       "      <td>13.01</td>\n",
       "      <td>6.09</td>\n",
       "      <td>10.80</td>\n",
       "      <td>7.12</td>\n",
       "      <td>8.98</td>\n",
       "      <td>12.92</td>\n",
       "      <td>8.44</td>\n",
       "      <td>10.70</td>\n",
       "      <td>11.13</td>\n",
       "      <td>12.18</td>\n",
       "      <td>8.70</td>\n",
       "      <td>10.58</td>\n",
       "      <td>8.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>19.15</td>\n",
       "      <td>12.70</td>\n",
       "      <td>5.86</td>\n",
       "      <td>10.47</td>\n",
       "      <td>6.98</td>\n",
       "      <td>8.58</td>\n",
       "      <td>12.45</td>\n",
       "      <td>8.14</td>\n",
       "      <td>10.35</td>\n",
       "      <td>10.80</td>\n",
       "      <td>11.88</td>\n",
       "      <td>8.50</td>\n",
       "      <td>10.36</td>\n",
       "      <td>7.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>18.83</td>\n",
       "      <td>12.89</td>\n",
       "      <td>5.90</td>\n",
       "      <td>10.50</td>\n",
       "      <td>6.98</td>\n",
       "      <td>8.64</td>\n",
       "      <td>13.36</td>\n",
       "      <td>8.18</td>\n",
       "      <td>10.33</td>\n",
       "      <td>10.61</td>\n",
       "      <td>11.85</td>\n",
       "      <td>8.40</td>\n",
       "      <td>10.44</td>\n",
       "      <td>8.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10</th>\n",
       "      <td>19.12</td>\n",
       "      <td>12.94</td>\n",
       "      <td>5.88</td>\n",
       "      <td>10.75</td>\n",
       "      <td>7.11</td>\n",
       "      <td>8.71</td>\n",
       "      <td>13.75</td>\n",
       "      <td>8.25</td>\n",
       "      <td>10.27</td>\n",
       "      <td>10.66</td>\n",
       "      <td>11.85</td>\n",
       "      <td>8.44</td>\n",
       "      <td>10.41</td>\n",
       "      <td>8.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-11</th>\n",
       "      <td>19.02</td>\n",
       "      <td>13.06</td>\n",
       "      <td>6.03</td>\n",
       "      <td>11.01</td>\n",
       "      <td>7.13</td>\n",
       "      <td>8.82</td>\n",
       "      <td>14.51</td>\n",
       "      <td>8.28</td>\n",
       "      <td>10.61</td>\n",
       "      <td>10.67</td>\n",
       "      <td>11.98</td>\n",
       "      <td>8.66</td>\n",
       "      <td>10.75</td>\n",
       "      <td>8.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-12</th>\n",
       "      <td>19.31</td>\n",
       "      <td>12.90</td>\n",
       "      <td>6.21</td>\n",
       "      <td>11.18</td>\n",
       "      <td>7.18</td>\n",
       "      <td>8.77</td>\n",
       "      <td>14.41</td>\n",
       "      <td>8.20</td>\n",
       "      <td>10.57</td>\n",
       "      <td>10.98</td>\n",
       "      <td>12.08</td>\n",
       "      <td>8.71</td>\n",
       "      <td>11.03</td>\n",
       "      <td>8.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-13</th>\n",
       "      <td>19.52</td>\n",
       "      <td>13.03</td>\n",
       "      <td>6.28</td>\n",
       "      <td>11.57</td>\n",
       "      <td>7.25</td>\n",
       "      <td>8.90</td>\n",
       "      <td>14.31</td>\n",
       "      <td>8.34</td>\n",
       "      <td>10.71</td>\n",
       "      <td>11.06</td>\n",
       "      <td>12.29</td>\n",
       "      <td>8.91</td>\n",
       "      <td>11.04</td>\n",
       "      <td>8.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-01</th>\n",
       "      <td>19.52</td>\n",
       "      <td>14.99</td>\n",
       "      <td>14.98</td>\n",
       "      <td>12.55</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.77</td>\n",
       "      <td>11.12</td>\n",
       "      <td>6.85</td>\n",
       "      <td>9.28</td>\n",
       "      <td>11.16</td>\n",
       "      <td>14.11</td>\n",
       "      <td>8.06</td>\n",
       "      <td>12.41</td>\n",
       "      <td>7.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-02</th>\n",
       "      <td>18.69</td>\n",
       "      <td>15.60</td>\n",
       "      <td>14.98</td>\n",
       "      <td>11.49</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.73</td>\n",
       "      <td>10.01</td>\n",
       "      <td>6.29</td>\n",
       "      <td>8.48</td>\n",
       "      <td>10.48</td>\n",
       "      <td>13.19</td>\n",
       "      <td>7.25</td>\n",
       "      <td>11.18</td>\n",
       "      <td>6.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-07</th>\n",
       "      <td>19.26</td>\n",
       "      <td>15.75</td>\n",
       "      <td>14.98</td>\n",
       "      <td>12.64</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.84</td>\n",
       "      <td>10.37</td>\n",
       "      <td>6.45</td>\n",
       "      <td>8.80</td>\n",
       "      <td>11.13</td>\n",
       "      <td>13.66</td>\n",
       "      <td>7.54</td>\n",
       "      <td>11.97</td>\n",
       "      <td>6.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-08</th>\n",
       "      <td>20.98</td>\n",
       "      <td>16.07</td>\n",
       "      <td>14.98</td>\n",
       "      <td>13.90</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.29</td>\n",
       "      <td>11.20</td>\n",
       "      <td>7.02</td>\n",
       "      <td>9.35</td>\n",
       "      <td>12.13</td>\n",
       "      <td>14.53</td>\n",
       "      <td>8.06</td>\n",
       "      <td>12.86</td>\n",
       "      <td>6.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-09</th>\n",
       "      <td>21.17</td>\n",
       "      <td>16.33</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.27</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.32</td>\n",
       "      <td>11.86</td>\n",
       "      <td>7.30</td>\n",
       "      <td>9.88</td>\n",
       "      <td>12.69</td>\n",
       "      <td>15.04</td>\n",
       "      <td>8.63</td>\n",
       "      <td>13.21</td>\n",
       "      <td>7.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-10</th>\n",
       "      <td>19.90</td>\n",
       "      <td>15.85</td>\n",
       "      <td>14.98</td>\n",
       "      <td>15.70</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.21</td>\n",
       "      <td>11.89</td>\n",
       "      <td>7.21</td>\n",
       "      <td>10.87</td>\n",
       "      <td>12.61</td>\n",
       "      <td>15.45</td>\n",
       "      <td>8.90</td>\n",
       "      <td>13.22</td>\n",
       "      <td>7.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-11</th>\n",
       "      <td>19.62</td>\n",
       "      <td>15.65</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.23</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.21</td>\n",
       "      <td>12.07</td>\n",
       "      <td>7.33</td>\n",
       "      <td>11.42</td>\n",
       "      <td>12.60</td>\n",
       "      <td>15.99</td>\n",
       "      <td>9.13</td>\n",
       "      <td>13.23</td>\n",
       "      <td>7.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-14</th>\n",
       "      <td>18.53</td>\n",
       "      <td>14.11</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.61</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.00</td>\n",
       "      <td>10.87</td>\n",
       "      <td>6.60</td>\n",
       "      <td>10.28</td>\n",
       "      <td>11.34</td>\n",
       "      <td>14.39</td>\n",
       "      <td>8.22</td>\n",
       "      <td>13.44</td>\n",
       "      <td>6.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-15</th>\n",
       "      <td>17.81</td>\n",
       "      <td>13.68</td>\n",
       "      <td>14.98</td>\n",
       "      <td>13.78</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.30</td>\n",
       "      <td>10.27</td>\n",
       "      <td>5.98</td>\n",
       "      <td>9.25</td>\n",
       "      <td>10.21</td>\n",
       "      <td>14.06</td>\n",
       "      <td>7.40</td>\n",
       "      <td>12.10</td>\n",
       "      <td>6.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-16</th>\n",
       "      <td>19.40</td>\n",
       "      <td>14.86</td>\n",
       "      <td>14.98</td>\n",
       "      <td>15.16</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.81</td>\n",
       "      <td>11.25</td>\n",
       "      <td>6.58</td>\n",
       "      <td>10.18</td>\n",
       "      <td>11.23</td>\n",
       "      <td>15.46</td>\n",
       "      <td>8.13</td>\n",
       "      <td>13.19</td>\n",
       "      <td>6.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-17</th>\n",
       "      <td>18.69</td>\n",
       "      <td>14.45</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.21</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.44</td>\n",
       "      <td>10.70</td>\n",
       "      <td>6.38</td>\n",
       "      <td>9.77</td>\n",
       "      <td>11.19</td>\n",
       "      <td>14.84</td>\n",
       "      <td>7.78</td>\n",
       "      <td>12.64</td>\n",
       "      <td>6.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-18</th>\n",
       "      <td>19.02</td>\n",
       "      <td>14.53</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.31</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.51</td>\n",
       "      <td>10.92</td>\n",
       "      <td>6.62</td>\n",
       "      <td>9.90</td>\n",
       "      <td>12.09</td>\n",
       "      <td>15.33</td>\n",
       "      <td>8.01</td>\n",
       "      <td>12.72</td>\n",
       "      <td>6.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-21</th>\n",
       "      <td>19.49</td>\n",
       "      <td>14.83</td>\n",
       "      <td>14.98</td>\n",
       "      <td>15.74</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.70</td>\n",
       "      <td>11.30</td>\n",
       "      <td>6.89</td>\n",
       "      <td>10.39</td>\n",
       "      <td>12.45</td>\n",
       "      <td>15.77</td>\n",
       "      <td>8.35</td>\n",
       "      <td>13.13</td>\n",
       "      <td>6.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-22</th>\n",
       "      <td>19.55</td>\n",
       "      <td>14.88</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.97</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.11</td>\n",
       "      <td>11.99</td>\n",
       "      <td>6.91</td>\n",
       "      <td>11.08</td>\n",
       "      <td>12.47</td>\n",
       "      <td>15.89</td>\n",
       "      <td>8.62</td>\n",
       "      <td>13.86</td>\n",
       "      <td>7.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-23</th>\n",
       "      <td>19.00</td>\n",
       "      <td>14.51</td>\n",
       "      <td>14.98</td>\n",
       "      <td>17.20</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.79</td>\n",
       "      <td>11.64</td>\n",
       "      <td>7.00</td>\n",
       "      <td>11.19</td>\n",
       "      <td>12.11</td>\n",
       "      <td>15.52</td>\n",
       "      <td>8.86</td>\n",
       "      <td>13.55</td>\n",
       "      <td>6.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-24</th>\n",
       "      <td>19.15</td>\n",
       "      <td>14.60</td>\n",
       "      <td>14.98</td>\n",
       "      <td>17.41</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.89</td>\n",
       "      <td>11.98</td>\n",
       "      <td>7.03</td>\n",
       "      <td>11.06</td>\n",
       "      <td>12.49</td>\n",
       "      <td>16.85</td>\n",
       "      <td>8.79</td>\n",
       "      <td>13.68</td>\n",
       "      <td>6.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-25</th>\n",
       "      <td>18.80</td>\n",
       "      <td>14.22</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.90</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.71</td>\n",
       "      <td>11.39</td>\n",
       "      <td>6.68</td>\n",
       "      <td>10.38</td>\n",
       "      <td>11.66</td>\n",
       "      <td>15.40</td>\n",
       "      <td>8.14</td>\n",
       "      <td>13.53</td>\n",
       "      <td>6.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-28</th>\n",
       "      <td>18.92</td>\n",
       "      <td>14.35</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.59</td>\n",
       "      <td>28.37</td>\n",
       "      <td>6.96</td>\n",
       "      <td>11.50</td>\n",
       "      <td>6.87</td>\n",
       "      <td>10.62</td>\n",
       "      <td>12.13</td>\n",
       "      <td>15.28</td>\n",
       "      <td>8.79</td>\n",
       "      <td>13.71</td>\n",
       "      <td>6.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-29</th>\n",
       "      <td>18.37</td>\n",
       "      <td>14.23</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.01</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.00</td>\n",
       "      <td>11.46</td>\n",
       "      <td>6.96</td>\n",
       "      <td>10.56</td>\n",
       "      <td>12.23</td>\n",
       "      <td>15.28</td>\n",
       "      <td>9.14</td>\n",
       "      <td>13.74</td>\n",
       "      <td>6.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>18.30</td>\n",
       "      <td>14.27</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.89</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.21</td>\n",
       "      <td>11.93</td>\n",
       "      <td>6.80</td>\n",
       "      <td>10.42</td>\n",
       "      <td>12.16</td>\n",
       "      <td>15.04</td>\n",
       "      <td>9.01</td>\n",
       "      <td>14.32</td>\n",
       "      <td>7.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-08</th>\n",
       "      <td>19.40</td>\n",
       "      <td>14.82</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.58</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.61</td>\n",
       "      <td>13.12</td>\n",
       "      <td>7.14</td>\n",
       "      <td>11.09</td>\n",
       "      <td>12.82</td>\n",
       "      <td>15.64</td>\n",
       "      <td>9.26</td>\n",
       "      <td>15.75</td>\n",
       "      <td>7.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-09</th>\n",
       "      <td>20.27</td>\n",
       "      <td>15.50</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.78</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.88</td>\n",
       "      <td>14.02</td>\n",
       "      <td>7.31</td>\n",
       "      <td>11.20</td>\n",
       "      <td>13.74</td>\n",
       "      <td>15.63</td>\n",
       "      <td>9.25</td>\n",
       "      <td>16.19</td>\n",
       "      <td>8.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-12</th>\n",
       "      <td>20.99</td>\n",
       "      <td>16.17</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.80</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.87</td>\n",
       "      <td>14.25</td>\n",
       "      <td>7.62</td>\n",
       "      <td>11.58</td>\n",
       "      <td>14.27</td>\n",
       "      <td>16.50</td>\n",
       "      <td>9.68</td>\n",
       "      <td>16.81</td>\n",
       "      <td>8.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-13</th>\n",
       "      <td>20.81</td>\n",
       "      <td>16.06</td>\n",
       "      <td>14.98</td>\n",
       "      <td>20.43</td>\n",
       "      <td>28.37</td>\n",
       "      <td>8.05</td>\n",
       "      <td>14.65</td>\n",
       "      <td>7.80</td>\n",
       "      <td>11.67</td>\n",
       "      <td>14.39</td>\n",
       "      <td>16.74</td>\n",
       "      <td>9.59</td>\n",
       "      <td>17.58</td>\n",
       "      <td>8.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-14</th>\n",
       "      <td>20.90</td>\n",
       "      <td>16.24</td>\n",
       "      <td>14.98</td>\n",
       "      <td>20.05</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.90</td>\n",
       "      <td>14.24</td>\n",
       "      <td>7.65</td>\n",
       "      <td>11.68</td>\n",
       "      <td>14.00</td>\n",
       "      <td>16.76</td>\n",
       "      <td>9.32</td>\n",
       "      <td>16.79</td>\n",
       "      <td>7.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-15</th>\n",
       "      <td>21.35</td>\n",
       "      <td>16.49</td>\n",
       "      <td>14.98</td>\n",
       "      <td>22.03</td>\n",
       "      <td>28.37</td>\n",
       "      <td>8.12</td>\n",
       "      <td>14.51</td>\n",
       "      <td>7.83</td>\n",
       "      <td>11.92</td>\n",
       "      <td>14.32</td>\n",
       "      <td>17.29</td>\n",
       "      <td>9.51</td>\n",
       "      <td>16.93</td>\n",
       "      <td>8.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-16</th>\n",
       "      <td>21.39</td>\n",
       "      <td>16.46</td>\n",
       "      <td>14.98</td>\n",
       "      <td>21.70</td>\n",
       "      <td>28.37</td>\n",
       "      <td>8.14</td>\n",
       "      <td>14.29</td>\n",
       "      <td>8.08</td>\n",
       "      <td>11.87</td>\n",
       "      <td>14.60</td>\n",
       "      <td>17.98</td>\n",
       "      <td>9.65</td>\n",
       "      <td>16.56</td>\n",
       "      <td>8.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-19</th>\n",
       "      <td>20.60</td>\n",
       "      <td>15.83</td>\n",
       "      <td>14.98</td>\n",
       "      <td>21.00</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.97</td>\n",
       "      <td>14.08</td>\n",
       "      <td>7.87</td>\n",
       "      <td>11.59</td>\n",
       "      <td>16.00</td>\n",
       "      <td>17.94</td>\n",
       "      <td>9.51</td>\n",
       "      <td>16.42</td>\n",
       "      <td>8.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-20</th>\n",
       "      <td>21.00</td>\n",
       "      <td>16.20</td>\n",
       "      <td>14.98</td>\n",
       "      <td>20.56</td>\n",
       "      <td>28.37</td>\n",
       "      <td>8.11</td>\n",
       "      <td>14.19</td>\n",
       "      <td>7.99</td>\n",
       "      <td>11.72</td>\n",
       "      <td>15.90</td>\n",
       "      <td>17.88</td>\n",
       "      <td>9.68</td>\n",
       "      <td>16.53</td>\n",
       "      <td>8.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21</th>\n",
       "      <td>19.38</td>\n",
       "      <td>15.03</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.50</td>\n",
       "      <td>28.37</td>\n",
       "      <td>7.30</td>\n",
       "      <td>12.77</td>\n",
       "      <td>7.20</td>\n",
       "      <td>10.55</td>\n",
       "      <td>14.31</td>\n",
       "      <td>16.52</td>\n",
       "      <td>8.78</td>\n",
       "      <td>14.88</td>\n",
       "      <td>7.35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            000998.XSHE  002041.XSHE  300087.XSHE  300143.XSHE  300189.XSHE  \\\n",
       "2015-01-05        19.77        12.84         5.21        12.76         6.78   \n",
       "2015-01-06        20.17        13.05         5.38        12.76         6.95   \n",
       "2015-01-07        20.01        12.98         5.32        11.48         6.89   \n",
       "2015-01-08        20.56        13.16         5.44        10.58         6.93   \n",
       "2015-01-09        20.19        13.01         5.30        10.39         6.80   \n",
       "2015-01-12        19.65        13.11         5.14        10.07         6.66   \n",
       "2015-01-13        20.03        13.28         5.32        10.36         6.82   \n",
       "2015-01-14        19.64        13.09         5.24        10.13         6.69   \n",
       "2015-01-15        19.80        13.18         5.33        10.18         6.76   \n",
       "2015-01-16        20.21        13.40         5.50        10.26         6.89   \n",
       "2015-01-19        19.64        13.44         5.43        10.28         6.64   \n",
       "2015-01-20        20.05        13.69         5.61        10.55         6.83   \n",
       "2015-01-21        20.48        13.93         5.76        10.82         7.00   \n",
       "2015-01-22        21.08        14.06         5.81        10.85         7.20   \n",
       "2015-01-23        20.66        13.80         5.70        10.85         7.08   \n",
       "2015-01-26        20.76        13.90         5.73        10.87         7.16   \n",
       "2015-01-27        21.22        14.09         6.07        10.91         7.27   \n",
       "2015-01-28        20.75        13.82         6.31        11.21         7.20   \n",
       "2015-01-29        20.65        13.53         6.20        11.12         7.21   \n",
       "2015-01-30        21.43        13.80         6.29        10.69         7.37   \n",
       "2015-02-02        20.99        13.46         6.24        10.55         7.20   \n",
       "2015-02-03        20.60        13.25         6.34        10.75         7.14   \n",
       "2015-02-04        20.14        13.24         6.27        10.76         7.12   \n",
       "2015-02-05        19.97        13.01         6.09        10.80         7.12   \n",
       "2015-02-06        19.15        12.70         5.86        10.47         6.98   \n",
       "2015-02-09        18.83        12.89         5.90        10.50         6.98   \n",
       "2015-02-10        19.12        12.94         5.88        10.75         7.11   \n",
       "2015-02-11        19.02        13.06         6.03        11.01         7.13   \n",
       "2015-02-12        19.31        12.90         6.21        11.18         7.18   \n",
       "2015-02-13        19.52        13.03         6.28        11.57         7.25   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "2015-09-01        19.52        14.99        14.98        12.55        28.37   \n",
       "2015-09-02        18.69        15.60        14.98        11.49        28.37   \n",
       "2015-09-07        19.26        15.75        14.98        12.64        28.37   \n",
       "2015-09-08        20.98        16.07        14.98        13.90        28.37   \n",
       "2015-09-09        21.17        16.33        14.98        14.27        28.37   \n",
       "2015-09-10        19.90        15.85        14.98        15.70        28.37   \n",
       "2015-09-11        19.62        15.65        14.98        16.23        28.37   \n",
       "2015-09-14        18.53        14.11        14.98        14.61        28.37   \n",
       "2015-09-15        17.81        13.68        14.98        13.78        28.37   \n",
       "2015-09-16        19.40        14.86        14.98        15.16        28.37   \n",
       "2015-09-17        18.69        14.45        14.98        14.21        28.37   \n",
       "2015-09-18        19.02        14.53        14.98        14.31        28.37   \n",
       "2015-09-21        19.49        14.83        14.98        15.74        28.37   \n",
       "2015-09-22        19.55        14.88        14.98        16.97        28.37   \n",
       "2015-09-23        19.00        14.51        14.98        17.20        28.37   \n",
       "2015-09-24        19.15        14.60        14.98        17.41        28.37   \n",
       "2015-09-25        18.80        14.22        14.98        16.90        28.37   \n",
       "2015-09-28        18.92        14.35        14.98        18.59        28.37   \n",
       "2015-09-29        18.37        14.23        14.98        18.01        28.37   \n",
       "2015-09-30        18.30        14.27        14.98        16.89        28.37   \n",
       "2015-10-08        19.40        14.82        14.98        18.58        28.37   \n",
       "2015-10-09        20.27        15.50        14.98        18.78        28.37   \n",
       "2015-10-12        20.99        16.17        14.98        18.80        28.37   \n",
       "2015-10-13        20.81        16.06        14.98        20.43        28.37   \n",
       "2015-10-14        20.90        16.24        14.98        20.05        28.37   \n",
       "2015-10-15        21.35        16.49        14.98        22.03        28.37   \n",
       "2015-10-16        21.39        16.46        14.98        21.70        28.37   \n",
       "2015-10-19        20.60        15.83        14.98        21.00        28.37   \n",
       "2015-10-20        21.00        16.20        14.98        20.56        28.37   \n",
       "2015-10-21        19.38        15.03        14.98        18.50        28.37   \n",
       "\n",
       "            600108.XSHG  600313.XSHG  600354.XSHG  600359.XSHG  600371.XSHG  \\\n",
       "2015-01-05         9.53        11.39         8.81        10.92        10.66   \n",
       "2015-01-06         9.77        11.70         8.75        11.08        10.82   \n",
       "2015-01-07        10.00        11.90         8.85        11.07        10.81   \n",
       "2015-01-08         9.79        12.00         8.89        11.12        10.87   \n",
       "2015-01-09         9.43        11.61         8.60        10.80        10.58   \n",
       "2015-01-12         9.47        11.58         8.47        10.73        10.38   \n",
       "2015-01-13         9.52        11.87         8.78        10.90        10.51   \n",
       "2015-01-14         9.47        11.68         8.64        10.88        10.45   \n",
       "2015-01-15         9.58        11.79         8.65        11.11        10.55   \n",
       "2015-01-16        10.02        12.14         8.80        11.25        10.73   \n",
       "2015-01-19         9.68        11.95         8.42        10.79        10.45   \n",
       "2015-01-20        10.04        12.52         8.59        11.10        10.76   \n",
       "2015-01-21        10.25        13.26         8.84        11.29        10.96   \n",
       "2015-01-22        10.43        13.76         9.18        11.58        11.18   \n",
       "2015-01-23        10.11        13.63         8.98        11.36        10.95   \n",
       "2015-01-26        10.15        13.89         9.08        11.49        11.13   \n",
       "2015-01-27        10.46        14.89         9.37        11.73        11.22   \n",
       "2015-01-28        10.19        14.32         9.24        11.54        11.00   \n",
       "2015-01-29        10.08        14.34         9.36        11.24        10.89   \n",
       "2015-01-30        10.27        14.50         9.40        11.34        11.22   \n",
       "2015-02-02         9.66        13.47         8.93        11.31        11.26   \n",
       "2015-02-03         9.46        13.59         8.74        11.13        11.04   \n",
       "2015-02-04         9.24        13.09         8.60        10.87        11.23   \n",
       "2015-02-05         8.98        12.92         8.44        10.70        11.13   \n",
       "2015-02-06         8.58        12.45         8.14        10.35        10.80   \n",
       "2015-02-09         8.64        13.36         8.18        10.33        10.61   \n",
       "2015-02-10         8.71        13.75         8.25        10.27        10.66   \n",
       "2015-02-11         8.82        14.51         8.28        10.61        10.67   \n",
       "2015-02-12         8.77        14.41         8.20        10.57        10.98   \n",
       "2015-02-13         8.90        14.31         8.34        10.71        11.06   \n",
       "...                 ...          ...          ...          ...          ...   \n",
       "2015-09-01         6.77        11.12         6.85         9.28        11.16   \n",
       "2015-09-02         6.73        10.01         6.29         8.48        10.48   \n",
       "2015-09-07         6.84        10.37         6.45         8.80        11.13   \n",
       "2015-09-08         7.29        11.20         7.02         9.35        12.13   \n",
       "2015-09-09         7.32        11.86         7.30         9.88        12.69   \n",
       "2015-09-10         7.21        11.89         7.21        10.87        12.61   \n",
       "2015-09-11         7.21        12.07         7.33        11.42        12.60   \n",
       "2015-09-14         7.00        10.87         6.60        10.28        11.34   \n",
       "2015-09-15         6.30        10.27         5.98         9.25        10.21   \n",
       "2015-09-16         6.81        11.25         6.58        10.18        11.23   \n",
       "2015-09-17         6.44        10.70         6.38         9.77        11.19   \n",
       "2015-09-18         6.51        10.92         6.62         9.90        12.09   \n",
       "2015-09-21         6.70        11.30         6.89        10.39        12.45   \n",
       "2015-09-22         7.11        11.99         6.91        11.08        12.47   \n",
       "2015-09-23         6.79        11.64         7.00        11.19        12.11   \n",
       "2015-09-24         6.89        11.98         7.03        11.06        12.49   \n",
       "2015-09-25         6.71        11.39         6.68        10.38        11.66   \n",
       "2015-09-28         6.96        11.50         6.87        10.62        12.13   \n",
       "2015-09-29         7.00        11.46         6.96        10.56        12.23   \n",
       "2015-09-30         7.21        11.93         6.80        10.42        12.16   \n",
       "2015-10-08         7.61        13.12         7.14        11.09        12.82   \n",
       "2015-10-09         7.88        14.02         7.31        11.20        13.74   \n",
       "2015-10-12         7.87        14.25         7.62        11.58        14.27   \n",
       "2015-10-13         8.05        14.65         7.80        11.67        14.39   \n",
       "2015-10-14         7.90        14.24         7.65        11.68        14.00   \n",
       "2015-10-15         8.12        14.51         7.83        11.92        14.32   \n",
       "2015-10-16         8.14        14.29         8.08        11.87        14.60   \n",
       "2015-10-19         7.97        14.08         7.87        11.59        16.00   \n",
       "2015-10-20         8.11        14.19         7.99        11.72        15.90   \n",
       "2015-10-21         7.30        12.77         7.20        10.55        14.31   \n",
       "\n",
       "            600506.XSHG  600540.XSHG  600598.XSHG  601118.XSHG  \n",
       "2015-01-05        11.33         8.16        10.17         8.88  \n",
       "2015-01-06        11.62         8.30        10.51         9.15  \n",
       "2015-01-07        11.54         8.28        10.54         9.03  \n",
       "2015-01-08        11.81         8.30        10.56         8.85  \n",
       "2015-01-09        11.73         8.19        10.43         8.61  \n",
       "2015-01-12        11.34         8.09        10.42         8.89  \n",
       "2015-01-13        11.54         8.12        10.44         8.94  \n",
       "2015-01-14        11.84         8.17        10.17         8.75  \n",
       "2015-01-15        11.86         8.28        10.35         8.90  \n",
       "2015-01-16        11.98         8.34        10.51         9.09  \n",
       "2015-01-19        11.96         8.14        10.10         8.60  \n",
       "2015-01-20        12.33         8.31        10.48         8.80  \n",
       "2015-01-21        12.65         8.49        10.82         8.94  \n",
       "2015-01-22        12.76         8.64        11.09         9.25  \n",
       "2015-01-23        12.62         8.57        10.94         9.06  \n",
       "2015-01-26        12.74         8.83        11.42         9.20  \n",
       "2015-01-27        12.79         9.02        11.59         9.34  \n",
       "2015-01-28        12.61         9.00        11.50         9.15  \n",
       "2015-01-29        12.32         8.95        11.43         9.04  \n",
       "2015-01-30        12.26         8.89        11.49         9.14  \n",
       "2015-02-02        12.22         8.93        10.92         8.81  \n",
       "2015-02-03        12.37         9.23        10.81         8.73  \n",
       "2015-02-04        12.45         8.88        10.73         8.64  \n",
       "2015-02-05        12.18         8.70        10.58         8.37  \n",
       "2015-02-06        11.88         8.50        10.36         7.93  \n",
       "2015-02-09        11.85         8.40        10.44         8.01  \n",
       "2015-02-10        11.85         8.44        10.41         8.04  \n",
       "2015-02-11        11.98         8.66        10.75         8.18  \n",
       "2015-02-12        12.08         8.71        11.03         8.14  \n",
       "2015-02-13        12.29         8.91        11.04         8.23  \n",
       "...                 ...          ...          ...          ...  \n",
       "2015-09-01        14.11         8.06        12.41         7.15  \n",
       "2015-09-02        13.19         7.25        11.18         6.45  \n",
       "2015-09-07        13.66         7.54        11.97         6.57  \n",
       "2015-09-08        14.53         8.06        12.86         6.93  \n",
       "2015-09-09        15.04         8.63        13.21         7.22  \n",
       "2015-09-10        15.45         8.90        13.22         7.04  \n",
       "2015-09-11        15.99         9.13        13.23         7.20  \n",
       "2015-09-14        14.39         8.22        13.44         6.84  \n",
       "2015-09-15        14.06         7.40        12.10         6.16  \n",
       "2015-09-16        15.46         8.13        13.19         6.74  \n",
       "2015-09-17        14.84         7.78        12.64         6.47  \n",
       "2015-09-18        15.33         8.01        12.72         6.55  \n",
       "2015-09-21        15.77         8.35        13.13         6.73  \n",
       "2015-09-22        15.89         8.62        13.86         7.08  \n",
       "2015-09-23        15.52         8.86        13.55         6.72  \n",
       "2015-09-24        16.85         8.79        13.68         6.82  \n",
       "2015-09-25        15.40         8.14        13.53         6.59  \n",
       "2015-09-28        15.28         8.79        13.71         6.82  \n",
       "2015-09-29        15.28         9.14        13.74         6.99  \n",
       "2015-09-30        15.04         9.01        14.32         7.39  \n",
       "2015-10-08        15.64         9.26        15.75         7.70  \n",
       "2015-10-09        15.63         9.25        16.19         8.09  \n",
       "2015-10-12        16.50         9.68        16.81         8.08  \n",
       "2015-10-13        16.74         9.59        17.58         8.30  \n",
       "2015-10-14        16.76         9.32        16.79         7.98  \n",
       "2015-10-15        17.29         9.51        16.93         8.11  \n",
       "2015-10-16        17.98         9.65        16.56         8.06  \n",
       "2015-10-19        17.94         9.51        16.42         8.15  \n",
       "2015-10-20        17.88         9.68        16.53         8.17  \n",
       "2015-10-21        16.52         8.78        14.88         7.35  \n",
       "\n",
       "[193 rows x 14 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = get_price(get_industry_stocks('A01'), fields=('close',))['close']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000998.XSHE</th>\n",
       "      <th>002041.XSHE</th>\n",
       "      <th>300087.XSHE</th>\n",
       "      <th>300143.XSHE</th>\n",
       "      <th>300189.XSHE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>19.77</td>\n",
       "      <td>12.84</td>\n",
       "      <td>5.21</td>\n",
       "      <td>12.76</td>\n",
       "      <td>6.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>20.17</td>\n",
       "      <td>13.05</td>\n",
       "      <td>5.38</td>\n",
       "      <td>12.76</td>\n",
       "      <td>6.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>20.01</td>\n",
       "      <td>12.98</td>\n",
       "      <td>5.32</td>\n",
       "      <td>11.48</td>\n",
       "      <td>6.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>20.56</td>\n",
       "      <td>13.16</td>\n",
       "      <td>5.44</td>\n",
       "      <td>10.58</td>\n",
       "      <td>6.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>20.19</td>\n",
       "      <td>13.01</td>\n",
       "      <td>5.30</td>\n",
       "      <td>10.39</td>\n",
       "      <td>6.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-12</th>\n",
       "      <td>19.65</td>\n",
       "      <td>13.11</td>\n",
       "      <td>5.14</td>\n",
       "      <td>10.07</td>\n",
       "      <td>6.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-13</th>\n",
       "      <td>20.03</td>\n",
       "      <td>13.28</td>\n",
       "      <td>5.32</td>\n",
       "      <td>10.36</td>\n",
       "      <td>6.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-14</th>\n",
       "      <td>19.64</td>\n",
       "      <td>13.09</td>\n",
       "      <td>5.24</td>\n",
       "      <td>10.13</td>\n",
       "      <td>6.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-15</th>\n",
       "      <td>19.80</td>\n",
       "      <td>13.18</td>\n",
       "      <td>5.33</td>\n",
       "      <td>10.18</td>\n",
       "      <td>6.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-16</th>\n",
       "      <td>20.21</td>\n",
       "      <td>13.40</td>\n",
       "      <td>5.50</td>\n",
       "      <td>10.26</td>\n",
       "      <td>6.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-19</th>\n",
       "      <td>19.64</td>\n",
       "      <td>13.44</td>\n",
       "      <td>5.43</td>\n",
       "      <td>10.28</td>\n",
       "      <td>6.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-20</th>\n",
       "      <td>20.05</td>\n",
       "      <td>13.69</td>\n",
       "      <td>5.61</td>\n",
       "      <td>10.55</td>\n",
       "      <td>6.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-21</th>\n",
       "      <td>20.48</td>\n",
       "      <td>13.93</td>\n",
       "      <td>5.76</td>\n",
       "      <td>10.82</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-22</th>\n",
       "      <td>21.08</td>\n",
       "      <td>14.06</td>\n",
       "      <td>5.81</td>\n",
       "      <td>10.85</td>\n",
       "      <td>7.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-23</th>\n",
       "      <td>20.66</td>\n",
       "      <td>13.80</td>\n",
       "      <td>5.70</td>\n",
       "      <td>10.85</td>\n",
       "      <td>7.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-26</th>\n",
       "      <td>20.76</td>\n",
       "      <td>13.90</td>\n",
       "      <td>5.73</td>\n",
       "      <td>10.87</td>\n",
       "      <td>7.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-27</th>\n",
       "      <td>21.22</td>\n",
       "      <td>14.09</td>\n",
       "      <td>6.07</td>\n",
       "      <td>10.91</td>\n",
       "      <td>7.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-28</th>\n",
       "      <td>20.75</td>\n",
       "      <td>13.82</td>\n",
       "      <td>6.31</td>\n",
       "      <td>11.21</td>\n",
       "      <td>7.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-29</th>\n",
       "      <td>20.65</td>\n",
       "      <td>13.53</td>\n",
       "      <td>6.20</td>\n",
       "      <td>11.12</td>\n",
       "      <td>7.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-30</th>\n",
       "      <td>21.43</td>\n",
       "      <td>13.80</td>\n",
       "      <td>6.29</td>\n",
       "      <td>10.69</td>\n",
       "      <td>7.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-02</th>\n",
       "      <td>20.99</td>\n",
       "      <td>13.46</td>\n",
       "      <td>6.24</td>\n",
       "      <td>10.55</td>\n",
       "      <td>7.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
       "      <td>20.60</td>\n",
       "      <td>13.25</td>\n",
       "      <td>6.34</td>\n",
       "      <td>10.75</td>\n",
       "      <td>7.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>20.14</td>\n",
       "      <td>13.24</td>\n",
       "      <td>6.27</td>\n",
       "      <td>10.76</td>\n",
       "      <td>7.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>19.97</td>\n",
       "      <td>13.01</td>\n",
       "      <td>6.09</td>\n",
       "      <td>10.80</td>\n",
       "      <td>7.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>19.15</td>\n",
       "      <td>12.70</td>\n",
       "      <td>5.86</td>\n",
       "      <td>10.47</td>\n",
       "      <td>6.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>18.83</td>\n",
       "      <td>12.89</td>\n",
       "      <td>5.90</td>\n",
       "      <td>10.50</td>\n",
       "      <td>6.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-10</th>\n",
       "      <td>19.12</td>\n",
       "      <td>12.94</td>\n",
       "      <td>5.88</td>\n",
       "      <td>10.75</td>\n",
       "      <td>7.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-11</th>\n",
       "      <td>19.02</td>\n",
       "      <td>13.06</td>\n",
       "      <td>6.03</td>\n",
       "      <td>11.01</td>\n",
       "      <td>7.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-12</th>\n",
       "      <td>19.31</td>\n",
       "      <td>12.90</td>\n",
       "      <td>6.21</td>\n",
       "      <td>11.18</td>\n",
       "      <td>7.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-13</th>\n",
       "      <td>19.52</td>\n",
       "      <td>13.03</td>\n",
       "      <td>6.28</td>\n",
       "      <td>11.57</td>\n",
       "      <td>7.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-01</th>\n",
       "      <td>19.52</td>\n",
       "      <td>14.99</td>\n",
       "      <td>14.98</td>\n",
       "      <td>12.55</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-02</th>\n",
       "      <td>18.69</td>\n",
       "      <td>15.60</td>\n",
       "      <td>14.98</td>\n",
       "      <td>11.49</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-07</th>\n",
       "      <td>19.26</td>\n",
       "      <td>15.75</td>\n",
       "      <td>14.98</td>\n",
       "      <td>12.64</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-08</th>\n",
       "      <td>20.98</td>\n",
       "      <td>16.07</td>\n",
       "      <td>14.98</td>\n",
       "      <td>13.90</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-09</th>\n",
       "      <td>21.17</td>\n",
       "      <td>16.33</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.27</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-10</th>\n",
       "      <td>19.90</td>\n",
       "      <td>15.85</td>\n",
       "      <td>14.98</td>\n",
       "      <td>15.70</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-11</th>\n",
       "      <td>19.62</td>\n",
       "      <td>15.65</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.23</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-14</th>\n",
       "      <td>18.53</td>\n",
       "      <td>14.11</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.61</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-15</th>\n",
       "      <td>17.81</td>\n",
       "      <td>13.68</td>\n",
       "      <td>14.98</td>\n",
       "      <td>13.78</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-16</th>\n",
       "      <td>19.40</td>\n",
       "      <td>14.86</td>\n",
       "      <td>14.98</td>\n",
       "      <td>15.16</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-17</th>\n",
       "      <td>18.69</td>\n",
       "      <td>14.45</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.21</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-18</th>\n",
       "      <td>19.02</td>\n",
       "      <td>14.53</td>\n",
       "      <td>14.98</td>\n",
       "      <td>14.31</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-21</th>\n",
       "      <td>19.49</td>\n",
       "      <td>14.83</td>\n",
       "      <td>14.98</td>\n",
       "      <td>15.74</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-22</th>\n",
       "      <td>19.55</td>\n",
       "      <td>14.88</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.97</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-23</th>\n",
       "      <td>19.00</td>\n",
       "      <td>14.51</td>\n",
       "      <td>14.98</td>\n",
       "      <td>17.20</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-24</th>\n",
       "      <td>19.15</td>\n",
       "      <td>14.60</td>\n",
       "      <td>14.98</td>\n",
       "      <td>17.41</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-25</th>\n",
       "      <td>18.80</td>\n",
       "      <td>14.22</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.90</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-28</th>\n",
       "      <td>18.92</td>\n",
       "      <td>14.35</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.59</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-29</th>\n",
       "      <td>18.37</td>\n",
       "      <td>14.23</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.01</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>18.30</td>\n",
       "      <td>14.27</td>\n",
       "      <td>14.98</td>\n",
       "      <td>16.89</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-08</th>\n",
       "      <td>19.40</td>\n",
       "      <td>14.82</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.58</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-09</th>\n",
       "      <td>20.27</td>\n",
       "      <td>15.50</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.78</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-12</th>\n",
       "      <td>20.99</td>\n",
       "      <td>16.17</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.80</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-13</th>\n",
       "      <td>20.81</td>\n",
       "      <td>16.06</td>\n",
       "      <td>14.98</td>\n",
       "      <td>20.43</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-14</th>\n",
       "      <td>20.90</td>\n",
       "      <td>16.24</td>\n",
       "      <td>14.98</td>\n",
       "      <td>20.05</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-15</th>\n",
       "      <td>21.35</td>\n",
       "      <td>16.49</td>\n",
       "      <td>14.98</td>\n",
       "      <td>22.03</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-16</th>\n",
       "      <td>21.39</td>\n",
       "      <td>16.46</td>\n",
       "      <td>14.98</td>\n",
       "      <td>21.70</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-19</th>\n",
       "      <td>20.60</td>\n",
       "      <td>15.83</td>\n",
       "      <td>14.98</td>\n",
       "      <td>21.00</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-20</th>\n",
       "      <td>21.00</td>\n",
       "      <td>16.20</td>\n",
       "      <td>14.98</td>\n",
       "      <td>20.56</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21</th>\n",
       "      <td>19.38</td>\n",
       "      <td>15.03</td>\n",
       "      <td>14.98</td>\n",
       "      <td>18.50</td>\n",
       "      <td>28.37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            000998.XSHE  002041.XSHE  300087.XSHE  300143.XSHE  300189.XSHE\n",
       "2015-01-05        19.77        12.84         5.21        12.76         6.78\n",
       "2015-01-06        20.17        13.05         5.38        12.76         6.95\n",
       "2015-01-07        20.01        12.98         5.32        11.48         6.89\n",
       "2015-01-08        20.56        13.16         5.44        10.58         6.93\n",
       "2015-01-09        20.19        13.01         5.30        10.39         6.80\n",
       "2015-01-12        19.65        13.11         5.14        10.07         6.66\n",
       "2015-01-13        20.03        13.28         5.32        10.36         6.82\n",
       "2015-01-14        19.64        13.09         5.24        10.13         6.69\n",
       "2015-01-15        19.80        13.18         5.33        10.18         6.76\n",
       "2015-01-16        20.21        13.40         5.50        10.26         6.89\n",
       "2015-01-19        19.64        13.44         5.43        10.28         6.64\n",
       "2015-01-20        20.05        13.69         5.61        10.55         6.83\n",
       "2015-01-21        20.48        13.93         5.76        10.82         7.00\n",
       "2015-01-22        21.08        14.06         5.81        10.85         7.20\n",
       "2015-01-23        20.66        13.80         5.70        10.85         7.08\n",
       "2015-01-26        20.76        13.90         5.73        10.87         7.16\n",
       "2015-01-27        21.22        14.09         6.07        10.91         7.27\n",
       "2015-01-28        20.75        13.82         6.31        11.21         7.20\n",
       "2015-01-29        20.65        13.53         6.20        11.12         7.21\n",
       "2015-01-30        21.43        13.80         6.29        10.69         7.37\n",
       "2015-02-02        20.99        13.46         6.24        10.55         7.20\n",
       "2015-02-03        20.60        13.25         6.34        10.75         7.14\n",
       "2015-02-04        20.14        13.24         6.27        10.76         7.12\n",
       "2015-02-05        19.97        13.01         6.09        10.80         7.12\n",
       "2015-02-06        19.15        12.70         5.86        10.47         6.98\n",
       "2015-02-09        18.83        12.89         5.90        10.50         6.98\n",
       "2015-02-10        19.12        12.94         5.88        10.75         7.11\n",
       "2015-02-11        19.02        13.06         6.03        11.01         7.13\n",
       "2015-02-12        19.31        12.90         6.21        11.18         7.18\n",
       "2015-02-13        19.52        13.03         6.28        11.57         7.25\n",
       "...                 ...          ...          ...          ...          ...\n",
       "2015-09-01        19.52        14.99        14.98        12.55        28.37\n",
       "2015-09-02        18.69        15.60        14.98        11.49        28.37\n",
       "2015-09-07        19.26        15.75        14.98        12.64        28.37\n",
       "2015-09-08        20.98        16.07        14.98        13.90        28.37\n",
       "2015-09-09        21.17        16.33        14.98        14.27        28.37\n",
       "2015-09-10        19.90        15.85        14.98        15.70        28.37\n",
       "2015-09-11        19.62        15.65        14.98        16.23        28.37\n",
       "2015-09-14        18.53        14.11        14.98        14.61        28.37\n",
       "2015-09-15        17.81        13.68        14.98        13.78        28.37\n",
       "2015-09-16        19.40        14.86        14.98        15.16        28.37\n",
       "2015-09-17        18.69        14.45        14.98        14.21        28.37\n",
       "2015-09-18        19.02        14.53        14.98        14.31        28.37\n",
       "2015-09-21        19.49        14.83        14.98        15.74        28.37\n",
       "2015-09-22        19.55        14.88        14.98        16.97        28.37\n",
       "2015-09-23        19.00        14.51        14.98        17.20        28.37\n",
       "2015-09-24        19.15        14.60        14.98        17.41        28.37\n",
       "2015-09-25        18.80        14.22        14.98        16.90        28.37\n",
       "2015-09-28        18.92        14.35        14.98        18.59        28.37\n",
       "2015-09-29        18.37        14.23        14.98        18.01        28.37\n",
       "2015-09-30        18.30        14.27        14.98        16.89        28.37\n",
       "2015-10-08        19.40        14.82        14.98        18.58        28.37\n",
       "2015-10-09        20.27        15.50        14.98        18.78        28.37\n",
       "2015-10-12        20.99        16.17        14.98        18.80        28.37\n",
       "2015-10-13        20.81        16.06        14.98        20.43        28.37\n",
       "2015-10-14        20.90        16.24        14.98        20.05        28.37\n",
       "2015-10-15        21.35        16.49        14.98        22.03        28.37\n",
       "2015-10-16        21.39        16.46        14.98        21.70        28.37\n",
       "2015-10-19        20.60        15.83        14.98        21.00        28.37\n",
       "2015-10-20        21.00        16.20        14.98        20.56        28.37\n",
       "2015-10-21        19.38        15.03        14.98        18.50        28.37\n",
       "\n",
       "[193 rows x 5 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df.iloc[:,0:5]\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用pct_change()计算收益率，使用dropna去除缺失值，使用distplot画出直方分布图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f27feb6e850>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WrVt30WPsdnZnxYLtFLtktpVOJ8JsGoTJPP4dq+pPDQIAaqttsIxxvN+rg0qlHfMxE+H3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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27feba3fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "returns = df1.pct_change().dropna()\n",
    "sns.distplot(returns.iloc[:,0:1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果有多组数据需要通过统计分布图进行比较，可以使用violinplot得到小提琴图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f27f748de50>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ODpHJDVngtKJe7DgcDjidTliM/QNZLaGSxPTdEDtqLEG2bfDAPztL2ZfK3iQq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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27f744f390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(returns,size=24)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用pairplot画出散点图，通过散点图分析两两之间的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f27ff264990>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Pb368jpJKNR7/WTbeWj8DJtx1k2MKYDuSDdsU1d4aO+F7vOEO6c79d3as0WSy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\nRXCBRkRERERE5CK4QCMiIiIiInIR/wNoChgWx8WVRwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27ff264c90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(returns, diag_kind='kde', size=2.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 更多相关性分析方法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以通过使用heatmap更系统地探索相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f27fd465210>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TsVqtQNOFTEpKyk2PS0RE/Itf3fHuen/Md1+zWCzXvHbixAnefPNN1q1b1+KHG4bB4sWL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\nn1KQFxER8VP/P3jP2YWD57ysAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27fd46de90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(returns.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "还可以通过clustermap画出聚类图，将相近的聚成一类；您可以通过查阅机器学习相关书籍了解更多过关于聚类的信息。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x7ff867c44550>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9wOdNmTKFp556Kn57xowZTJ48GYAVK1YwfPhwYrEYgwcPZvr06QDMnTuXsrKy\nFvspLi6Ov/aAAQMoKCggFosRi8UoLy9v9Tglt/qoJElSB3D88ccza9YsUlNT2bNnD6NGjeKdd95h\n8eLFXH755YwbN46qqiqqqqq45557+Oijj6iurmbBggXU19czZswYFi5cSFJSEjk5Odx4443k5ubu\n9zp/+ctfmDVrFhdffHH8vlNPPZUXX3yRlJQUtm/fzrXXXsugQYPIyMho8dwJEyYQi8UoLCwE4KWX\nXmLevHkA3HfffUybNo1zzjmHIAj4+OOPAUhKSmrzvc+ePZuTTz75kI6TK4aSJOmYkJqaCsDu3bvZ\nu3cvXbp0YfHixRQVFQFQVFTEokWLAKipqSE/P5+UlBR69OhBr169WLlyJQBZWVmkp6cf8DWeeOIJ\nxo8fT0pKCkEQAJCSkkJKSgoATU1NJCcn07lz5/2em5aWxl133cXkyZMpKyvjzjvvJC0tDYDNmzfH\nXzMpKYnMzMxDft//O8ehcMVQkiQdE5qbmykqKmLdunWMHDmSs88+m40bN9K9e3cAunfvzsaNGwFo\naGjgoosuij83IyOD+vr6Vve/evVq6uvryc7O5tlnn22xmldXV8e4ceNYt24dEydOPOgKXn5+PrNm\nzSI5OTm+cggwevRo8vLy6NOnD/3796eoqIjjjjuOIAiorq7m3XffjW9bW1vbYp833XQTkUgE2Be/\no0ePPuh7MAwlSdIxoVOnTsybN4+tW7dSUlLC8uXLWzyelJTU6qnZ1h5rbm6msrKSysrK+H1fX6nL\nyMjgd7/7HQ0NDRQXF3PFFVdwxhln7Lefuro6NmzYQCQSYfv27ZxwwgkA3HbbbRQWFrJs2TLmz5/P\n/PnzmT17NrAvJh944IH4PoqLi1vs85ucSk54GFZWVtLU1JToMTqs0tLSRI8gSdIR5cQTTyQ7O5vV\nq1fTrVs3NmzYQHp6Og0NDXTt2hWAaDRKXV1d/Dl1dXVEo9GD7nPbtm18+OGH8Sj78ssv+dGPfsTT\nTz/N+eefH9/u1FNP5e///u/505/+dMAwLC8v54477mDt2rVMnz6diRMnxh/r2bMnI0eOZPjw4fTt\n25fGxkbgm50qbkvCw7Cpqcl4kSRJh9WmTZtITk7mpJNOoqmpiTfeeIPbb7+dAQMG8PLLLzN+/Hhe\neeUVBg4cCOz7NO/dd9/NzTffTH19PbW1tWRlZR10/yeeeGKLFcji4mImTZrE+eefT319PV26dKFz\n58589dXzrotvAAAdWklEQVRX/Od//ifjxo3bbx9Llixh8+bNxGIxduzYQWFhIddffz2ZmZm8/vrr\nXHXVVQB8+umnRCIRunTpckjv3WsMJUmSvmbDhg1MmjSJ5uZmmpubGTJkCH379uXcc89lwoQJzJkz\nh9NPP53HH38cgLPOOotrrrmG/Px8IpEIDz30UPxU8iOPPMKCBQvYuXMn2dnZDBs2jNtvv/2gr712\n7VoqKyvjp6pvvfVWvve97wEwbdo0LrzwQvr160dFRQVPPvkksO+DMhMnTqSsrIyZM2fy6quvUlFR\nQWpqKpFIhKlTp8b319Ynk79+jWHv3r1bnO7+a0nB33L98SBKS0sPuirY2mP629m1ZWOiR+jQdm9p\nTPQIHV7ffmMTPUKHVvNi699tpu8uknp8okfo8Lpe9P1Ej3DU8+tqJEmSBBiGkiRJChmGkiRJAgxD\nSZIkhQxDSZIkAYahJEmSQoahJEmSAMNQkiRJIcNQkiRJgGEoSZKkkGEoSZIkwDCUJElSyDCUJEkS\nYBhKkiQpZBhKkiQJMAwlSZIUMgwlSZIEGIaSJEkKGYaSJEkCDENJkiSFDENJkiQBhqEkSZJChqEk\nSZIAw1CSJEkhw1CSJEmAYShJkqSQYShJkiTAMJQkSVLIMJQkSRJgGEqSJClkGEqSJAkwDCVJkhQy\nDCVJkgQYhpIkSQoZhpIkSQIMQ0mSJIUMQ0mSJAGGoSRJkkKGoSRJkgDDUJIkSSHDUJIkSQAkJ3oA\ntY+/fPJxokfo0DpnRBM9QodX82J5okfo0HJu+GmiR+jwhpzXL9EjdHhl//r9RI9w1HPFUJIkSYBh\nKEmSpJBhKEmSJMAwlCRJUsgwlCRJEmAYSpIkKWQYSpIkCTAMJUmSFDIMJUmSBBiGkiRJChmGkiRJ\nAgxDSZIkhQxDSZIkAYahJEmSQoahJEmSAMNQkiRJIcNQkiRJgGEoSZKkkGEoSZIkwDCUJElSyDCU\nJEkSAMnt8SKdO3emtLT0gI+tWbOmPUaQJElSG9olDCdNmnTQxw4WjJIkSWpfnkqWJEkSYBhKkiQp\nZBhKkiQJMAwlSZIUMgwlSZIEGIaSJEkKGYaSJEkCDENJkiSFDENJkiQBhqEkSZJChqEkSZIAw1CS\nJEkhw1CSJEmAYShJkqSQYShJkiTAMJQkSceIpUuXkpeXR25uLlVVVQA0NjYyZswYBg0axNixY9my\nZUt8+2eeeYbc3Fzy8vJYtmxZ/P7q6moKCwu59tprmTp1avz+L774gtGjR1NYWEhxcTH19fUABEHA\nlClTyM/PZ/DgwUyZMuWA802ZMoWnnnoqfnvGjBlMnjwZgBUrVjB8+HBisRiDBw9m+vTpAMydO5ey\nsrIW+ykuLmb16tUADBgwgIKCAmKxGLFYjPLy8laPUXLrh1CSJOnot3fvXsrKynjuueeIRqMMHTqU\nnJwc5syZw+WXX864ceOoqqqiqqqKe+65h48++ojq6moWLFhAfX09Y8aMYeHChTQ2NvLoo48yd+5c\nTjnlFCZNmsSbb75J3759efjhhykqKiIWi7F8+XIee+wxHnnkEd5++21Wr17N/PnzCYKAUaNG8fbb\nb9OnT58WM06YMIFYLEZhYSEAL730EvPmzQPgvvvuY9q0aZxzzjkEQcDHH38MQFJSUpvvffbs2Zx8\n8smHdJxcMZQkSR3eqlWr6NWrFz169CAlJYX8/HwWLVrE4sWLKSoqAqCoqIhFixYBUFNTQ35+Pikp\nKfTo0YNevXqxcuVKPvvsM8444wxOOeUUAC677DIWLlwIwMcff0zfvn0B+Id/+AdqamoA6NatG7t3\n72bXrl00NTWxe/duunfvvt+MaWlp3HXXXUyePJmysjLuvPNO0tLSANi8eTPp6enAvhjMzMw85Pce\nBMEhb+uKoSRJ6vDq6+s57bTT4rej0SgrV65k48aN8Ujr3r07GzduBKChoYGLLroovn1GRgYNDQ1c\ndtllfPLJJ3zxxRdEo1FqamrYs2cPAOeccw6vvfYaN910E7///e/Ztm0bX331FWeddRb9+vXjiiuu\nIAgCbrzxRs4888wDzpmfn8+sWbNITk6OrxwCjB49mry8PPr06UP//v0pKiriuOOOIwgCqqureffd\nd+Pb1tbWttjnTTfdRCQSAfbF7+jRow96nAxDSZLU4R3olOtf35eUlNTmqdmTTjqJ0tJS7rrrLjp1\n6sQll1zCunXrgH2ne8vKynj55Ze59NJLiUajRCIR/vjHP/LWW2+xdOlSgiBg7NixvPPOO1x66aX7\n7b+uro4NGzYQiUTYvn07J5xwAgC33XYbhYWFLFu2jPnz5zN//nxmz54N7IvJBx54IL6P4uLiFvv8\nJqeSDcMjQGVlJU1NTYdl36WlpYdlv5IkHU2i0Sjr16+P366rqyMajdKtWzc2bNhAeno6DQ0NdO3a\nNb59XV3dftsDXH311Vx99dUAvPjii/HVuFNPPZUnn3wSgG3btrFw4ULS0tJ47733uPLKK0lNTQWg\nf//+rFix4oBhWF5ezh133MHatWuZPn06EydOjD/Ws2dPRo4cyfDhw+nbty+NjY3ANztV3BbD8AjQ\n1NRkwEmSdBhdcMEF1NbW8vnnn3PqqadSXV3NL37xCxobG3n55ZcZP348r7zyCgMHDgT2fZr37rvv\n5uabb6a+vp7a2lqysrIA2LhxI926deOrr77it7/9LU888QSw7zrALl260KlTJ6qqqhg6dCgAmZmZ\nPP/88+zdu5fm5mb++Mc/cvPNN+8345IlS9i8eTOxWIwdO3ZQWFjI9ddfT2ZmJq+//jpXXXUVAJ9+\n+imRSIQuXboc0nv3GkNJkqSvSU5O5sEHH6SkpITm5maGDh1KZmYm48ePZ8KECcyZM4fTTz+dxx9/\nHICzzjqLa665hvz8fCKRCA899FD8NPPPf/5z1qxZA+w7xXvGGWcA8Pbbb/OLX/wCgD59+vCzn/0M\ngJycHN566y2GDBlCEARceeWV8cibNm0aF154If369aOioiK+4piamsrEiRMpKytj5syZvPrqq1RU\nVJCamkokEmHq1KnxU99tnf7++jWGvXv3prKy8qDbJgV/y/XHb6G0tPSYXy1rj2OwaeUfD+v+j3Wd\nM6KJHqHD2/bJukSP0KHl3PDTRI/Q4Q05r1+iR+jwyv7154ke4ajn19VIkiQJMAwlSZIUMgwlSZIE\nGIaSJEkKGYaSJEkCDENJkiSFDENJkiQBhqEkSZJChqEkSZIAw1CSJEkhw1CSJEmAYShJkqSQYShJ\nkiTAMJQkSVLIMJQkSRJgGEqSJClkGEqSJAkwDCVJkhQyDCVJkgQYhpIkSQoZhpIkSQIMQ0mSJIUM\nQ0mSJAGGoSRJkkKGoSRJkgDDUJIkSSHDUJIkSYBhKEmSpJBhKEmSJMAwlCRJUsgwlCRJEmAYSpIk\nKWQYSpIkCTAMJUmSFDIMJUmSBBiGkiRJChmGkiRJAgxDSZIkhQxDSZIkAYahJEmSQsmJHqBz586U\nlpYmeoyEWrNmTaJHkCRJSnwYTpo0KdEjJFx7hPHeHTsP+2scy3Z8sT7RI3R4kdTjEz1ChzbkvH6J\nHqHDm/fBHxI9QodXlugBOgBPJUuSJAkwDCVJkhQyDCVJkgQYhpIkSQoZhpIkSQIMQ0mSJIUMQ0mS\nJAGGoSRJkkKGoSRJkgDDUJIkSSHDUJIkSYBhKEmSpJBhKEmSJMAwlCRJUsgwlCRJEmAYSpIkKWQY\nSpIkCTAMJUmSFDIMJUmSBBiGkiRJChmGkiRJAgxDSZIkhQxDSZIkAYahJEmSQoahJEmSAMNQkiRJ\nIcNQkiRJgGEoSZKkkGEoSZIkwDCUJElSyDCUJEkSYBhKkiQpZBhKkiQJMAwlSZIUMgwlSZIEGIaS\nJEkKGYaSJEkCDENJkiSFDENJknRMWLp0KXl5eeTm5lJVVQVAY2MjY8aMYdCgQYwdO5YtW7YA8Ic/\n/IHrrruOgoICrrvuOpYvXx7fz/vvv09BQQG5ublMmTJlv9d57bXX6N27N6tXr47fV1JSwve//31u\nvfXWg843ZcoUnnrqqfjtGTNmMHnyZABWrFjB8OHDicViDB48mOnTpwMwd+5cysrKWuynuLg4/toD\nBgygoKCAWCxGLBajvLy81WOU3OqjkiRJHcDevXspKyvjueeeIxqNMnToUHJycpgzZw6XX34548aN\no6qqiqqqKu655x66du3KM888Q3p6Oh9++CElJSUsXboUgNLSUsrLy8nKymLcuHEsXbqUK6+8EoC/\n/OUvzJo1i4svvrjF6//whz+kqamJF1988aAzTpgwgVgsRmFhIQAvvfQS8+bNA+C+++5j2rRpnHPO\nOQRBwMcffwxAUlJSm+999uzZnHzyyYd0nFwxlCRJHd6qVavo1asXPXr0ICUlhfz8fBYtWsTixYsp\nKioCoKioiEWLFgFw7rnnkp6eDsBZZ53Fzp072b17Nw0NDWzbto2srCwAYrFY/DkATzzxBOPHjycl\nJYUgCOL39+3blxNOOKHVGdPS0rjrrruYPHkyZWVl3HnnnaSlpQGwefPm+DxJSUlkZmYe8nv/+hxt\nccVQkiR1ePX19Zx22mnx29FolJUrV7Jx40a6d+8OQPfu3dm4ceN+z33ttdc4//zzSUlJob6+noyM\njBb7aWhoAGD16tXU19eTnZ3Ns88+e0ireX8tPz+fWbNmkZycHF85BBg9ejR5eXn06dOH/v37U1RU\nxHHHHUcQBFRXV/Puu+/Gt62trW2xz5tuuolIJALsi9/Ro0cf9PUNwyNA586dKS0tPSz7Plz7lSTp\naHKgSPvr+5KSkva778MPP+Sxxx7jV7/6Vav7D4KAyspKKisrW9z3TdXV1bFhwwYikQjbt2+PrzLe\ndtttFBYWsmzZMubPn8/8+fOZPXs2sC8mH3jggfg+iouLW+zzm5xKNgyPAJMmTUr0CJIkdWjRaJT1\n69fHb9fV1RGNRunWrRsbNmwgPT2dhoYGunbt2mKb22+/nUceeYSePXvG91NXV7fffrZt28aHH34Y\nj7Ivv/ySH/3oRzz99NOcf/75wKFdD1heXs4dd9zB2rVrmT59OhMnTow/1rNnT0aOHMnw4cPp27cv\njY2NwLcL0IPxGkNJktThXXDBBdTW1vL555+za9cuqqurycnJYcCAAbz88ssAvPLKKwwcOBCALVu2\nMH78eO69914uueSS+H5OPfVU0tLSWLlyJUEQMG/ePHJyckhLS2P58uUsXryYxYsXc9FFF7WIQmg7\n4JYsWcLmzZuJxWL8+Mc/5ve//z1r164F4PXXX49v9+mnnxKJROjSpcshvXevMZQkSfqa5ORkHnzw\nQUpKSmhubmbo0KFkZmYyfvx4JkyYwJw5czj99NN5/PHHAXj++ef57LPPmD59evyrYX71q1/RtWtX\nHnroIe6//36amprIzs6OfyK5NaNGjeKTTz5h+/btZGdn8/Of/5x+/foxbdo0LrzwQvr160dFRQVP\nPvkkAKmpqUycOJGysjJmzpzJq6++SkVFBampqUQiEaZOnRo/9d3WSuTXrzHs3bt3i9Pdfy0p+Fuu\nP+qItWH5skSP0KF1Oi4l0SN0eEkRT3AcTr+c9HKiR+jw5n3wh0SP0OGtql2S6BGOev5PK0mSJMAw\nlCRJUsgwlCRJEmAYSpIkKWQYSpIkCTAMJUmSFDIMJUmSBBiGkiRJChmGkiRJAgxDSZIkhQxDSZIk\nAYahJEmSQoahJEmSAMNQkiRJIcNQkiRJgGEoSZKkkGEoSZIkwDCUJElSyDCUJEkSYBhKkiQpZBhK\nkiQJMAwlSZIUMgwlSZIEGIaSJEkKGYaSJEkCDENJkiSFDENJkiQBhqEkSZJChqEkSZIAw1CSJEkh\nw1CSJEmAYShJkqSQYShJkiTAMJQkSVLIMJQkSRJgGEqSJClkGEqSJAkwDCVJkhQyDCVJkgQYhpIk\nSQolBUEQJHoISZIkJZ4rhpIkSQIMQ0mSJIUMQ0mSJAGGoSRJkkKGoSRJkgDDUJIkSSHDUPvZuXMn\nw4YNY8iQIQwePJjHHnsMgMbGRsaMGcOgQYMYO3YsW7ZsiT/nmWeeITc3l7y8PJYtWxa///3336eg\noIDc3FymTJkSv7+2tpZRo0YRi8UoLCxkyZIlACxfvpxYLBb/ycrKoqamZr8Zp0yZwlNPPRW/PWPG\nDCZPngzAihUrGD58OLFYjMGDBzN9+nQA5s6dS1lZWYv9FBcXs3r1agAGDBhAQUFB/LXLy8u/03E8\nmL/l8f3lL3/JVVddxSWXXNLiNQ52fAEeffRRCgoKKCgooLq6+oAzHs3HF9rnGP+v1157jd69e8ff\n5xdffMF1111HLBYjPz+fX//61wd83tF+jAGWLl1KXl4eubm5VFVVAd/uGFdXV1NYWMi1117L1KlT\n4/d/8cUXjB49msLCQoqLi6mvrwcgCAKmTJlCfn4+gwcPbvF/y9cd7cf4mxzfP/zhD1x33XUUFBRw\n3XXXsXz58vh+Dvb/8P/667/DACUlJXz/+9/n1ltvPeh8R/vx1UEE0gFs3749CIIg2L17dzBs2LDg\nj3/8Y/Dwww8HVVVVQRAEwTPPPBM8+uijQRAEwYcffhgUFhYGu3btCj777LNg4MCBQXNzcxAEQXD9\n9dcHK1euDIIgCH74wx8GS5YsCYIgCO67777gt7/9bRAEQfDRRx8FV1999X4zNDY2Bn369Amampr2\ne2zr1q1BTk5OsG7dumDdunXBgAEDgq1btwZBEAS5ubnBmjVrgiAIgubm5uCjjz4KgiAI5s6dG0ye\nPLnFfm688cbg/fffD4IgCK6++upg8+bN3/aQfSN/q+O7cuXKoKGhIbj44otb7P9gx/ff//3fgzFj\nxgR79+4Ntm/fHlx//fXx4/Z1R/vxDYLDf4yDYN9xGjVqVHDDDTfE3+euXbuCXbt2BUEQBNu2bQuu\nvvrqYP369Qd87tF8jPfs2RMMHDgw+Oyzz4Jdu3YFhYWFwUcfffSNj/GmTZuCq666Kti0aVMQBPv+\n7r7xxhtBEATBT37yk+Dll18OgiAI3nzzzeDee+8NgiAIli9fHowYMSJobm4O9u7dG9xwww3BW2+9\ntd+MR/Mx/qbH94MPPggaGhqCIAiCP//5z0H//v3j+zrY/8NBcOC/w0EQBG+88UawePHi4JZbbjno\njEfz8dXBuWKoA0pNTQVg9+7d7N27ly5durB48WKKiooAKCoqYtGiRQDU1NSQn59PSkoKPXr0oFev\nXqxcuZKGhga2bdtGVlYWALFYLP6c9PR0tm79f+3ceUhUXx/H8bfOTGXYpuUYZZuG2h6JJS5TWmAY\nLZCUkRpJttLyh1a0kpRmC5X+EREiFRRB2OLYLm1EZptFtIiVWuSMmGlko1Mzzx+Tl3yc8ac91fOb\n+L7+mzv3fufcD5fjufec6ycA6uvr0Wq1rdpw4cIFIiIi6Ny5c6vv3N3dWbNmDdu2bSMtLY1Vq1bh\n7u4OQG1tLX369AHAxcUFX1/fdp+39Q/9v/dfkS/AqFGjlHP9kaN8y8rKCAoKwtXVFTc3N/z9/bl5\n82ar4509X/j9GQPs37+f5ORkNBqNcm4ajQaNRgOAyWRCrVbTpUuXVsc6e8aPHz9mwIAB9O/fH41G\nQ0xMDFeuXOlwxpWVlQwcOJBevXoBMGHCBC5dugTAq1evCAkJAWD8+PHK7IGnpydms5mmpiZMJhNm\ns5nevXu3aqMzZ9zRfAMDA5Xz8fPzo7GxEbPZ3GY/DPavYYCQkBC6du3aZhudOV/hmPr/3QDx72Sx\nWJg1axYVFRXExcUxdOhQampqlM63d+/e1NTUAGA0Ghk9erRyrLe3NwaDAbVajbe3t7Jdq9ViNBoB\nWLx4MXPmzOHYsWN8+fKF3NzcVm3Q6/UkJSU5bGNMTAxHjhxBrVYzffp0ZXtiYiLR0dEEBwcTHh7O\nrFmz6NSpE1arlYKCAu7fv6/sW15e3qJmQkICKpUKsHW6iYmJ7Y2sQ35Fvm1xlG9AQADZ2dksXLiQ\nhoYGioqKGDp0qN0azpwv/P6Mnz59isFgQKfTcfjwYVxcXJTvqqqqWLRoERUVFaSmptKzZ0+7NZw5\nY4PBQN++fZXPWq2WkpKSDmVsNBqZMGECr1+/5t27d2i1Wq5evcrXr18B8Pf35+LFiyQkJHD58mU+\nf/5MXV0dfn5+hIaGEhYWhtVqZf78+QwZMsRuO501447m+6OLFy8yfPhwNBoNBoPBYT/c1jXcXs6a\nr3BMBobCLldXV86cOcOnT59ISkpqsV4FbHeAP9OJNEtPTyc2NpYFCxbw6NEjUlJS0Ov1yvdGo5HS\n0lLCwsIc1qiqqqK6uhqVSkVDQ4Nyd7t8+XKmT5/OrVu3yM/PJz8/n6NHjwK2Tmzjxo1Kjfj4+BY1\njx496vCP+K/0v+b7T9k7yjc0NJQnT54wd+5cPDw8GDNmjMNazpwv/N6MLRYLGRkZZGRkKNt+fMrh\n7e3NuXPnMBqNxMfHExYWxsCBA1vVceaM7eXz39va0090796drVu3smbNGlxdXRk7diwVFRUArF27\nlrS0NPLy8ggKCkKr1aJSqSguLqaoqIgbN25gtVpZuHAh9+7dIygoqFV9Z834Z/MtLS1lz5495OTk\ntFnfarW2eQ23l7PmKxyTqWTRpm7duqHT6Xj69Cmenp5UV1cDtoGbh4cHYLsDraqqUo6pqqrC29vb\n7vbmKc2HDx8ydepUAMaMGUNjYyMfPnxQ9j1//jxTpkxR7hrt2b59OytXriQ6OlpZ2NzMx8eHuLg4\ncnNzefHiBR8/fgT+fVMUP5uvvan3H7WV75IlSzh9+jQ5OTlYrVYGDx5st8bfkC/8now/f/5MaWkp\n8fHxREZGUlJSwtKlS1ss3gfw8vJi3LhxPHv2zG4dZ85Yq9Xy/v175XNzZj+T8aRJkzh58iQnTpxg\n0KBByjXp5eVFVlYWeXl5rF69GrBNXz58+JCIiAjc3Nzo2rUr4eHhPHr0yG47nTXjjubbvM+KFSvI\nzMzEx8dHqWMv9/Zcw+25+XfWfIVjMjAUrXz48EF5081kMnH79m2GDRtGZGQkeXl5AJw+fZrJkycD\ntrfI9Ho9TU1NVFZWUl5erqzLcnd3p6SkBKvVypkzZ4iKigJgyJAh3L59G7Cte2tsbGzRwen1eqZN\nm+awjdevX6e2tpaZM2eybNkyLl++TFlZGQDXrl1T9nvz5g0qlYoePXq069z/RIf1q/Jti6N8LRYL\ntbW1ADx//pyXL1/afSrrzPnC78+4W7du3Llzh8LCQgoLCxk9ejQHDx5k+PDhGAwGTCYTAHV1dTx4\n8AB/f/9WNZw94xEjRlBeXs7bt29pamqioKCAqKion8q4eTq0rq6O48ePExsbC9jWqVksFgAOHTrE\n7NmzAfD19aW4uJhv375hNpspLi7Gz8+vVRudOeOO5ltfX09ycjIpKSkt3qD38vKy2w+7u7s7vIbb\ne57OnK9wTKaSRSvV1dWsW7cOi8WCxWJhxowZhISEEBgYyOrVqzl16hT9+vVj3759gG2h89SpU4mJ\niUGlUrFlyxblTnPLli2sX78ek8mETqcjIiICgNTUVDZs2EBubi4uLi7s3LlT+f23b99iMBgIDg5u\n0a4DBw4wcuRIQkNDSU9PJysrC7C9ZJCamkpaWhq5ubmcPXuW9PR03NzcUKlU7N69W5ly+ac74B/X\ntgQEBLSYZvlVfmW+mZmZ6PV6Ghsb0el0xMbGsmLFCof5ms1m5s+fD9gGN7t27cLV1fWvyhf+TMaO\nlJWVkZGRoeSxZMkS5QnY35SxWq1m06ZNJCUlYbFYmD17Nr6+viQnJ3c44x07dvD8+XPANgXZPO1+\n9+5d9u7dC0BwcDCbN28GICoqiqKiImbMmIHVaiUiIoKJEycCf0/GHc332LFjVFZWkp2drTy5y8nJ\nwcPDw2E/3JZ58+bx+vVrGhoa0Ol07Nixg9DQ0L8mX+GYi1WG5kIIIYQQAplKFkIIIYQQ38nAUAgh\nhBBCADIwFEIIIYQQ38nAUAghhBBCADIwFEIIIYQQ38nAUAghhBBCADIwFEIIIYQQ38nAUAghhBBC\nAPAfTfJlVH11Ue8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff8679081d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(returns.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sns.clustermap?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.5 64-bit",
   "language": "python",
   "name": "python37564bit5307efeb92474673af7a58ac41b8c62b"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "3.7.5-final"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}